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An interactive Streamlit application that performs deep exploratory data analysis on Netflix’s content catalog to uncover hidden patterns, genre distributions, temporal trends, country-wise production insights, content growth over time, duration patterns, and rating classifications using Python-based data science techniques.

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Netflix Data Analysis Dashboard

An interactive Streamlit app that uncovers patterns, genres, trends, and actor-director networks from Netflix's content using data science.

Features

  • Country-wise content availability
  • Monthly content release trends
  • Most popular genres and ratings
  • Similar content detection
  • Actor-Director Network Graph
  • TV Shows vs. Movies trend analysis

Run Locally

  1. Clone the repo: git clone https://github.com/unknownsteve7/Netflix-dashboard.git cd netflix-dashboard-app

  2. Install dependencies: pip install -r requirements.txt

  3. Start the app: streamlit run app.py

Dataset

Make sure cleaned_netflix_data.csv is present in the root directory.

Tech Stack

  • Python
  • Pandas
  • Streamlit
  • Seaborn, Matplotlib

Inspiration

Built for hands-on learning in data analysis and visualization with real-world datasets.

About

An interactive Streamlit application that performs deep exploratory data analysis on Netflix’s content catalog to uncover hidden patterns, genre distributions, temporal trends, country-wise production insights, content growth over time, duration patterns, and rating classifications using Python-based data science techniques.

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